Open AccessThree‐phase grid‐tied single‐stage solar energy conversion system using LLMS control algorithm
Author(s) -
Agarwal Rahul,
Hussain Ikhlaq,
Singh Bhim
Publication year - 2016
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2016.0061
Subject(s) - maximum power point tracking , photovoltaic system , harmonics , control theory (sociology) , power factor , ac power , three phase , computer science , maximum power principle , voltage , engineering , electronic engineering , inverter , electrical engineering , control (management) , artificial intelligence
In this study, a three‐phase grid‐tied single‐stage solar energy conversion system (SECS) is implemented using a leaky least mean square (LLMS) based control algorithm. The SECS extracts the solar energy from the photovoltaic cells and converts it into electrical energy. The SECS makes use of voltage source inverter to invert the extracted DC power into the three‐phase AC power. Apart from SECS, this system configures a three‐phase grid, ripple filters and connected linear or non‐linear loads. The main objective of this system is to eliminate power quality issues such as harmonics, voltage fluctuations and flickers, unbalancing in loads, reactive power requirement and so on. Moreover, this system operates at unity power factor and zero voltage regulation modes. In this study, SECS employs a single‐stage topology controlled by perturb & observe approach of maximum power point tracking technique and for extracting fundamental component of load currents, a LLMS‐based adaptive neural network control method is used. This system is modelled, designed and simulated in MATLAB using simpower system toolbox and experimental validation is carried out on a developed prototype in the laboratory.